Intelligent Document Processing
Gen AI & Automation / Intelligent Document Processing

Teach your CRM to read -- stop processing documents manually

AI-powered extraction, classification, and CRM population from contracts, invoices, proposals, and onboarding documents. Human review only where confidence falls below threshold.

95%+

Extraction accuracy avg

80%

Manual processing eliminated

Audit trail

Every extraction logged

CRM-connected

Records updated automatically

Business challenges

Why Intelligent Document Processing projects fail

01

Contracts manually re-entered into CRM

Sales ops re-enters contract values, start dates, renewal terms, and counterparty details from signed PDFs into CRM records. Errors occur regularly. Speed depends entirely on available headcount.

02

Invoices matched manually across three systems

Finance manually matches purchase orders, delivery notes, and invoices across ERP and email. Three-way matching that could take seconds takes two days and produces errors that take another day to resolve.

03

Customer documents scattered across inboxes

KYC documents, onboarding forms, and compliance paperwork arrive by email and live in individual inboxes. The CRM has no record that they exist or what they contain.

04

No confidence scoring -- extraction errors go undetected

Basic OCR tools extract data but never communicate when the extraction is unreliable. Errors enter the CRM silently and are only discovered when they cause a downstream problem -- often weeks later.

What is included

Everything in this service

Document Classification

Train a multi-class classification model to identify document type from content, extract the relevant fields for that type, and route the extracted data to the correct CRM object -- all automatically and without human intervention for high-confidence results.

Document type classificationContent-based routingCRM object mappingConfidence scoring

Deliverables

v Classification model
v Routing configuration
v CRM field mapping
v Confidence threshold documentation

How it works

Our delivery process

01

Document audit

Catalogue every document type processed manually -- volume per month, fields extracted, current error rate, and time cost per document.

02

Model training

Train extraction and classification models on a representative sample of your historical documents. Minimum 200 samples per document type.

03

CRM integration

Connect the extraction pipeline bidirectionally to your CRM and any downstream systems including ERP, document management, and compliance platforms.

04

Confidence thresholds

Set human review thresholds -- documents with extraction confidence below the defined level are queued for human validation before CRM population.

05

Production & monitoring

Deploy to production with accuracy tracking, monthly model performance reporting, and a retraining schedule as new document samples accumulate.

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Success stories

Client results

All case studies

We process 2,400 supplier invoices per month. Before IDP that required 3 full-time staff. Now it requires 0.5 -- with higher accuracy, faster processing time, and a complete audit trail that our external auditors have explicitly praised.

H

Head of Finance

Manufacturing Company

KYC documents used to sit in email inboxes for days. Now every document is classified, extracted, linked to the correct CRM client record, and checked for expiry within 2 hours of receipt. Our compliance team reviews exceptions only.

H

Head of Compliance

Insurance Broker

Case study Healthcare

180% increase in marketing-influenced pipeline

B2B Healthcare Company

Marketing Operations Rebuild for a B2B Healthcare Company — From Campaign Chaos to Scalable Engine

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Case study Professional Services

300% increase in qualified inbound

CRM Consultancy (60 staff)

Brand Repositioning for a CRM Consultancy — 300% Increase in Inbound Qualified Enquiries

Read case study ->

Platforms we use for this service

Salesforce HubSpot Azure AI Document Intelligence AWS Textract Google Document AI UiPath Document Understanding
IDP Business Case Template

Free resource

IDP Business Case Template -- get it free

Build the business case for intelligent document processing -- volume analysis, cost model, accuracy benchmarks, and ROI calculation template.

Excel + PDF * Free

FAQ

Your Intelligent Document Processing questions, answered

Ready to start?

Automate your document processing

We respond within 1 business day with an honest assessment -- no commitment required.

v Response within 1 business day
v Free initial assessment -- no commitment
v Fixed-price options available
v All data under strict NDA from day one
v 98% on-time delivery across 40+ projects

We respond within 1 business day. No spam.

Client results

What this service has delivered

All case studies →
Case Study
MQL-to-SQL conversion 11% → 49%

AI-Powered Lead Scoring That Increased Sales Qualified Lead Accuracy by 340%

B2B Enterprise Software Company

A B2B software company was passing 180 MQLs to sales every month. Conversion to SQL was 11%. Sales…

11%→49%
MQL-to-SQL conversion
68%
Unqualified lead time saved
1.8x
Revenue per rep
Read case study →
Case Study
23 hours weekly manual work eliminated

CRM Automation Programme for a Logistics Company — 14 Manual Processes Eliminated

National Logistics Company

A logistics company with 280 sales and ops staff had 14 manual CRM processes running on spreadsheets and…

14
Manual processes automated
23 hrs
Weekly work eliminated
12%
Renewal conversion increase
Read case study →
Case Study
Contract review 4 days → 2 hours

Document Processing Automation for a Legal Firm — Contract Review Time from 4 Days to 2 Hours

Commercial Law Firm

A commercial law firm reviewing 60 contracts per week was spending 4 days per contract on initial review.…

2 hours
Review time (from 4 days)
94%
Deviation detection accuracy
34%
Associate capacity increase
Read case study →